Responsibilities
- Build sophisticated Rust-based data filtering & evaluation systems to identify the highest-quality agent interactions for training
- Develop large-scale pipelines to collect, process, and analyze browsing behavior in real time
- Create evaluation frameworks to measure and compare agent decision quality — and feed those insights back into model training
- Solve complex reliability and performance issues with elegant engineering approaches that translate into better datasets and smarter agents
Requirements
- Strong software engineering skills and experience shipping reliable code
- Creative problem-solving mindset — knowing when engineering beats brute-force model training
- Comfortable in lower-level languages (Rust experience a plus)
- Interest in AI agents and belief that great models start with great systems
- Ability to work fast and autonomously
- Based in Paris or willing to spend your first month+ in our office (remote/hybrid possible after onboarding)
Nice to Have
- Experience with Rust (any level)
- Previous production experience in any technology stack
- Understanding of ML concepts (for future model training context)
- Experience in data processing, evaluation, or testing infrastructure
Work Arrangement
Hybrid — Paris
Additional Information
- No production experience yet? Show us you're exceptional through personal projects, open-source contributions, competitive programming, or other evidence of your ability to solve complex problems with speed and elegance.
